ReviewMilitary Medical Research2023
How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology.
Review in Military Medical Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
110 citing papers in PubMed.
- Reevaluating sentinel lymph node biopsy in older adults with T1 HR+/HER2- breast cancer: a SEER competing risk and nomogram study.Breast cancer (Tokyo, Japan) · 2026Article
- Large language models for pneumonia detection in radiology reports via text analysis.PLOS digital health · 2026Article
- A nomogram integrating multidimensional lymph node indicators with clinicopathological factors predicts overall survival in non-metastatic gastric cancer patients after radical gastrectomy.Translational cancer research · 2026Article
- Development and validation of a novel nomogram for predicting long-term survival in gallbladder cancer: a large population-based study using the SEER database.Journal of gastrointestinal oncology · 2026Article
- Prognostic implications and precision selection criteria of primary tumor resection in metastatic gallbladder adenocarcinoma.Discover oncology · 2026Article
- Article
- Association of prognostic nutritional index with mortality in patients with sepsis-associated delirium: a retrospective MIMIC-IV study.BMC neurology · 2026Article
- Early and late mortality among patients with T1-T3 head and neck squamous cell carcinoma: a machine learning analysis using a SEER population-based cohort study.Scientific reports · 2026Article
- Derivation and external validation of a prognostic nomogram for human epidermal growth factor receptor 2 negative early young breast cancer in women.Discover oncology · 2026Article
- Review
- Development and validation of prognostic nomograms for patients with cervical cancer and liver metastasis: a SEER-based study.Translational cancer research · 2026Article
- Propofol Use and Delirium in Patients Aged 80 Years and Over: A Retrospective Cohort Study of 9850 ICU Admissions.Drugs & aging · 2026Article
- Impact of the immuno-oncology era on cerebrovascular disease and cancer-specific mortality in older adults with advanced non-small cell lung cancer: a competing-risks cohort study.Translational cancer research · 2026Article
- Nomogram for predicting prognostic risk in severe pulmonary tuberculosis: a retrospective analysis from the MIMIC-IV database.Journal of thoracic disease · 2026Article
- Survival benefit of adjuvant radiotherapy for gallbladder cancer patients with stage IIIA: a population based, propensity score-matched study.Translational cancer research · 2026Article
- Personalized survival prediction in young Asian American breast cancer.Gland surgery · 2026Article
- The association of night shift work with the risk of acute ischemic cerebrovascular syndrome: a longitudinal study of 204,261 UK Biobank participants.Journal of neurology · 2026Article
- Clinical models for predicting 30-day mortality in ARDS: A focus on ventilatory ratio-defined subgroups.Journal of intensive medicine · 2026Article
- Construction of competing-risk nomograms and identification of optimal candidates for aggressive therapy in gastric cancer with peritoneal metastasis: a population-based study.Translational cancer research · 2026Article
- Personalized prognosis: construction and validation of a survival prediction model for older postoperative differentiated thyroid cancer patients.BMC geriatrics · 2026Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the United States (US), the Surveillance, Epidemiology, and End Results (SEER) program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data. This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field. Currently, the SEER program covers approximately half of the total cancer patients in the US. A growing number of clinical studies have applied the SEER database in various aspects. However, the intrinsic features of the SEER database, such as the huge data volume and complexity of data types, have hindered its application. In this review, we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database. Therefore, the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.